Embeddings

Vector embeddings and similarity

Showing 169-192 of 1727 skills
Yeachan-Heo

external-context

by Yeachan-Heo

Invoke parallel document-specialist agents for external web searches and documentation lookup

Database 38.8K 6mo ago
supermemoryai

super-search

by supermemoryai

Search your coding memory. Use when user asks about past work, previous sessions, how something was implemented, what they worked on before, or wants to recall information from earlier sessions.

Embeddings 2.7K 7mo ago
mims-harvard

tooluniverse-protein-structure-retrieval

by mims-harvard

Retrieves protein structure data from RCSB PDB, PDBe, and AlphaFold with protein disambiguation, quality assessment, and comprehensive structural profiles. Creates detailed structure reports with experimental metadata, ligand information, and download links. Use when users need protein structures, 3D models, crystallography data, or mention PDB IDs (4-character codes like 1ABC) or UniProt accessions.

Embeddings 1.7K 7mo ago
mims-harvard

tooluniverse-chemical-compound-retrieval

by mims-harvard

Retrieves chemical compound information from PubChem and ChEMBL with disambiguation, cross-referencing, and quality assessment. Creates comprehensive compound profiles with identifiers, properties, bioactivity, and drug information. Use when users need chemical data, drug information, or mention PubChem CID, ChEMBL ID, SMILES, InChI, or compound names.

Processing 1.7K 7mo ago
mims-harvard

tooluniverse-clinical-guidelines

by mims-harvard

Search and retrieve clinical practice guidelines across 12+ authoritative sources including NICE, WHO, ADA, AHA/ACC, NCCN, SIGN, CPIC, CMA, CTFPHC, GIN, MAGICapp, PubMed, EuropePMC, TRIP, and OpenAlex. Covers disease management, cardiology, oncology, diabetes, pharmacogenomics, and more. Use when users ask about clinical guidelines, treatment recommendations, standard of care, evidence-based medicine, or drug-gene dosing recommendations.

Processing 1.7K 6mo ago
mims-harvard

tooluniverse-gwas-trait-to-gene

by mims-harvard

Discover genes associated with diseases and traits using GWAS data from the GWAS Catalog (500,000+ associations) and Open Targets Genetics (L2G predictions). Identifies genetic risk factors, prioritizes causal genes via locus-to-gene scoring, and assesses druggability. Use when asked to find genes associated with a disease or trait, discover genetic risk factors, translate GWAS signals to gene targets, or answer questions like "What genes are associated with type 2 diabetes?"

Embeddings 1.7K 6mo ago
mims-harvard

tooluniverse-drug-repurposing

by mims-harvard

Identify drug repurposing candidates using ToolUniverse for target-based, compound-based, and disease-driven strategies. Searches existing drugs for new therapeutic indications by analyzing targets, bioactivity, safety profiles, and literature evidence. Use when exploring drug repurposing opportunities, finding new indications for approved drugs, or when users mention drug repositioning, off-label uses, or therapeutic alternatives.

Processing 1.7K 7mo ago
semgrep

llm-security

by semgrep

Security guidelines for LLM applications based on OWASP Top 10 for LLM 2025. Use when building LLM apps, reviewing AI security, implementing RAG systems, or asking about LLM vulnerabilities like "prompt injection" or "check LLM security".

Embeddings 282 7mo ago
mitsuhiko

anachb

by mitsuhiko

Austrian public transport (VOR AnachB) for all of Austria. Query real-time departures, search stations/stops, plan routes between locations, and check service disruptions. Use when asking about Austrian trains, buses, trams, metro (U-Bahn), or directions involving public transport in Austria.

Embeddings 2.9K 8mo ago
mitsuhiko

apple-mail

by mitsuhiko

"Search, read, and extract attachments from Apple Mail's local storage. Query emails by sender, recipient, subject, body, date, mailbox, and flags. Read raw RFC822 messages and extract file attachments."

Email 2.9K 6mo ago
inkeep

find-similar

by inkeep

Find similar or analogous code patterns elsewhere in a codebase. Use when answering "Do we do something similar elsewhere?" or "What existing patterns match this?" Returns factual findings about similar code - locations, similarity type, and confidence.

Embeddings 1.4K 7mo ago
RefoundAI

content-marketing

by RefoundAI

Help users build content marketing strategies. Use when someone is starting a blog, building SEO, creating thought leadership content, or deciding on content formats and distribution channels.

Embeddings 1.3K 7mo ago
OneWave-AI

lookalike-customer-finder

by OneWave-AI

Input your best customers and find 100+ companies that match the profile. Uses firmographic data, tech stack, growth signals, and similarity scoring to identify ideal prospects. Use when building target account lists or expanding to new markets.

Email 274 10mo ago
aAAaqwq

arxiv-automation

by aAAaqwq

"Search and monitor arXiv papers. Query by topic, author, or category. Track new papers, download PDFs, and summarize abstracts for research workflows."

API Dev 89 6mo ago
Yeachan-Heo

deepsearch

by Yeachan-Heo

Thorough codebase search

Embeddings 32.9K 6mo ago
guanyang

ui-ux-pro-max

by guanyang

"UI/UX design intelligence. 50 styles, 21 palettes, 50 font pairings, 20 charts, 8 stacks (React, Next.js, Vue, Svelte, SwiftUI, React Native, Flutter, Tailwind). Actions: plan, build, create, design, implement, review, fix, improve, optimize, enhance, refactor, check UI/UX code. Projects: website, landing page, dashboard, admin panel, e-commerce, SaaS, portfolio, blog, mobile app, .html, .tsx, .vue, .svelte. Elements: button, modal, navbar, sidebar, card, table, form, chart. Styles: glassmorphism, claymorphism, minimalism, brutalism, neumorphism, bento grid, dark mode, responsive, skeuomorphism, flat design. Topics: color palette, accessibility, animation, layout, typography, font pairing, spacing, hover, shadow, gradient."

Accessibility 958 7mo ago
guanyang

memory-systems

by guanyang

Guides implementation of agent memory systems, compares production frameworks (Mem0, Zep/Graphiti, Letta, LangMem), and designs persistence architectures for cross-session knowledge retention. Use when the user asks to "implement agent memory", "persist state across sessions", "build knowledge graph for agents", "track entities over time", "add long-term memory", "choose a memory framework", or mentions temporal knowledge graphs, vector stores, entity memory, or memory benchmarks (LoCoMo, LongMemEval).

Analytics 958 6mo ago
guanyang

filesystem-context

by guanyang

This skill should be used when the user asks to "offload context to files", "implement dynamic context discovery", "use filesystem for agent memory", "reduce context window bloat", or mentions file-based context management, tool output persistence, agent scratch pads, or just-in-time context loading.

Agents 958 7mo ago
openstatusHQ

hono

by openstatusHQ

Efficiently develop Hono applications using Hono CLI. Supports documentation search, API reference lookup, request testing, and bundle optimization.

CLI Tools 9K 7mo ago
vstorm-co

research-methodology

by vstorm-co

Best practices for systematic research, source evaluation, and evidence gathering

Academic 1K 6mo ago
dbt-labs

building-dbt-semantic-layer

by dbt-labs

Use when creating or modifying dbt Semantic Layer components — semantic models, metrics, dimensions, entities, measures, or time spines. Covers MetricFlow configuration, metric types (simple, derived, cumulative, ratio, conversion), and validation for both latest and legacy YAML specs.

Processing 689 6mo ago
glebis

gmail

by glebis

This skill should be used when searching, fetching, or downloading emails from Gmail. Use for queries like "search Gmail for...", "find emails from John", "show unread emails", "emails about project X", or "download attachment from email".

Embeddings 363 9mo ago
hatayama

uloop-unity-search

by hatayama

"Search Unity project for assets. Use when: finding scenes, prefabs, scripts, materials, or other assets by name/type, or when user asks to search project files. Returns asset paths and metadata."

Embeddings 518 6mo ago
SynkraAI

tech-search

by SynkraAI

Self-contained deep tech research. WebSearch + WebFetch + Haiku workers. Pipeline: Query > Decompose > Parallel Search (Haiku) > Evaluate > Synthesize > Document. Zero external dependencies. MCPs optional. Salva em docs/research/{YYYY-MM-DD}-{slug}/.

Academic 3.1K 6mo ago